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Megan Hollister Murray
Education
Ph.D. Candidate, Biostatistics
Vanderbilt University
Nashville, TN
Current - 2017
- False Discovery rates, Machine Learning methods, and Second Generation p-values
- Expected graduation: Summer 2022
B.S., Mathematics
Baylor University
Waco,TX
2017 - 2013
- Honors Thesis: Multi-Parameter Functions in Chaotic Dynamical Systems
Research Experience
Graduate Research Assistant
Vanderbilt University
Nashville, TN
Current - 2020
- Identifying determinants of racial disparities in lung cancer stage
- Contributed to the research findings and writing of a $1.25M multi-investigator federal grant
NIH TL1 Trainee
Vanderbilt University
Nashville, TN
2020 - 2018
- An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.
- Compared machine learning methods and statistical inference methods for discovery in large-scale translational data. Found that traditional methods perform as well as machine learning methods.
Statistical Evidence in Data Science Lab
Vanderbilt University
Nashville, TN
2019 - 2018
- “Large-Scale Inference” by Bradley Efron
- A small group of students and professors read through and discussed in detail the first 6 chapters of Efron’s book along with a selection of complimentary papers.
Chaos Theory Lab
Baylor University
Waco, TX
2017 - 2015
- “An Introduction to Chaotic Dynamical Systems” by Robert L. Devaney
- Lab group carefully read and proved theorems and propositions from this book. Dr. Brian Raines guided us through the theory.
Applied Mathematics Undergraduate Researcher
North Carolina State University
Raleigh, NC
2016
- Applied Mathematics Research Experience for Undergraduates
- Mathematically modeled chemical absorption and metabolism through the skin. On a team of four undergraduate students mentored by a biochemist from the EPA.
Teaching Experience
Probability & Statistical Inference
Vanderbilt Data Science Department
Nashville, TN
Current - 2019
- Head TA
- Masters course covers the fundamentals of probability theory and statistical inference.
Contemporary Statistical Inference
Vanderbilt Biostatistics Department
Nashville, TN
2020
- TA and lectured
- Graduate course focuses on the goal(s) of statistical tools for inference.
Selected Publications, Posters, and Talks
Factors Influencing Precision Medicine Knowledge and Attitudes
PLOS One Paper
N/A
2020
- Authored with Rohini Chakravarthy, Sarah Stallings, Michael Williams, Mario Davidson, Juan Canedo, and Consuelo H. Wilkins.
- Accepted and waiting publication. https://doi.org/10.1101/2020.06.04.133942
False Discovery Rate Computation: Illustrations and Modifications
Arxiv Paper
N/A
2020
- Authored with Jeffrey D. Blume.
- In process of being submitted to the R Journal. https://arxiv.org/abs/2010.04680
An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.
ENAR Conference Short Oral Presentation
Philadelphia, PA
2019
An evaluation of machine learning and classical statistical methods for discovery in large-scale translational data.
ACTS Conference Poster Presentation
Washington D.C.
2019
- Ranked in top 25% of posters
Modeling Dermal Diffusion and Metabolism for Consumer Products
Joint Mathematics Meeting Poster Presentation
Atlanta, GA
2017
- Ranked in top 10% of posters
Awards and Scholarships
The University Graduate Fellowship
Vanderbilt University
Nashville, TN
2020 - 2017
- Awarded by the Graduate School to highly qualified students entering study for the PhD or the master’s degree.
Distinguished Teaching Assistant
Vanderbilt Biostatistics Department
Nashville, TN
2020 - 2019
- Awarded each year based on student recommendations for a helpful and intelligent TA.